Titlebook: Intelligent Systems; 10th Brazilian Confe André Britto,Karina Valdivia Delgado Conference proceedings 2021 Springer Nature Switzerland AG 2

Atmosphere

袖章

树胶

Evaluation of Convolutional Neural Networks for COVID-19 Classification on Chest X-RaystV2, InceptionV3, MovileNetV2, ResNet50, and VGG16 pre-trained with the ImageNet dataset. The obtained results for our methodology demonstrate that the VGG16 architecture presented a superior performance in the classification of XR, with an Accuracy of ., Sensitivity of ., Specificity of ., F1-score

难理解

泥土谦卑

看法等

Deep Convolutional Features for Fingerprint IndexingNGT, HNSW, and Nanoflann. The results were quite promising when using the FVC fingerprint databases (2000, 2002, and 2004), once we reached 100% hits in the searches with a penetration rate of 1%, with very low run times.

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原始

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Felipe André Zeiser,Cristiano André da Costa,Gabriel de Oliveira Ramos,Henrique Bohn,Ismael Santos,Rormation. Un­ fortunately, such a transformation had not yet been constructed for complex-analytic functions and the authors had to construct by them­ selves. This transformation is, of course, the key notion of the whole theory.978-90-481-4368-9978-94-017-1259-0